Human problems.
Intelligent
systems.
I’m an AI Product Manager who builds from discovery to launch. I connect LLMs, context and tools to solve real user problems.
Software & AI features shipped
Increase in returning users
Less time creating content
Lower AI operating costs
Outcomes from my work at Conducttr. Adoption and authoring improvements relate to Sidekick; cost savings span the AI product area.
Making AI useful.
Making it work.
The problems, decisions and outcomes behind my work at Conducttr, an enterprise crisis-simulation platform.
Conceptual visuals. Project summaries describe my work without exposing internal implementation details.
Product ownership.
AI systems depth.
Explore what I do, how I apply it, and the evidence behind each capability.
A model is only
one part of it.
The product lives in the connections: what the system knows, what it can do, and how we know it works.
Give the model what matters.
A persona, a conversation and a task need different context. I work on what to include, what to retain, and how to keep the response relevant as the interaction grows.
What does the system need to know right now?
Curious by default.
Practical by choice.
I’m Wajid, the AI Product Manager at Conducttr in London, working within a lean three-person product function. I own the AI product area from discovery and roadmap through launch, evaluation and iteration.
My work combines customer understanding with technical detail: user needs, state models, tool contracts, evaluation criteria and the trade-offs that make a product worth shipping.
University of Surrey · Distinction
Product discovery at Consolutech, operations at Amazon, and product support at FULL Creative. A grounding in customer problems, workflow design and getting things shipped.